Regression Data Analysis System

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.


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Reference manual

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install.packages("regressoR")

1.2.1 by Oldemar Rodriguez R., 4 months ago


https://www.promidat.com


Browse source code at https://github.com/cran/regressoR


Authors: Oldemar Rodriguez R. [aut, cre] , Andres Navarro D. [ctb, prg] , Diego Jimenez A. [ctb, prg] , Ariel Arroyo S. [ctb, prg]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports shiny, shinyAce, shinydashboardPlus, flexdashboard, shinyWidgets, neuralnet, rpart, rpart.plot, e1071, kknn, corrplot, glmnet, ggplot2, dplyr, htmltools, forcats, gbm, stringr, xtable, rattle

Suggests randomForest, DT, colourpicker, shinyjs, gridExtra, tibble, scales, scatterplot3d, psych, dummies, testthat, pls


See at CRAN